Very High Resolution Satellite (VHRS) images have already demonstrated their great potentialities both for the
generation of satellite orthoimages and for map production and updating at the middle scale (1:10000 - 1:5000).
Nevertheless a big research effort has still to be done in order to investigate how different data with similar features can
be integrated to improve the final result and especially to overcome the objective difficulty, for a common customer, of
getting stereopairs from a single sensor. In this work a Geo GeoEye image and an Orthoready QuickBird one covering
about 120 Km2 in the region of Tera (Niger), are considered to determine how successfully they can be integrated to
exploit the maximum of resident information required to describe as better as possible the test area. A comparative
process was employed to determine the planimetric positional difference affecting the original acquired images, the
orthoimages obtained through a Rational Function Model (RFM) approach based on the released RPC (Rational
Polynomial Coefficients) and a "rigorous" multi-sensor bundle adjustment performing the simultaneous orientation of
both the images in a single block.
In this work, the integration between data provided by Time-of-Flight cameras and a multi-image matching technique for
metric surveys of architectural elements is presented. The main advantage is given by the quickness in the data
acquisition (few minutes) and the reduced cost of the instruments. The goal of this approach is the automatic extraction
of the object breaklines in a 3D environment using a photogrammetric process, which is helpful for the final user
exigencies for the reduction of the time needed for the drawing production. The results of the performed tests on some
architectural elements will be reported in this paper.
Documentation and measurements on archaeological areas are mostly connected with close-range photogrammetry, in
order to analyze the detailed structure of the objects. Classical aerial photogrammetric surveys are expensive and limited
by the image resolution. An alternative way is represented by the use of Unmanned Aerial Vehicle (UAV) equipped with
photogrammetric sensors. The paper deals with the acquisition and processing of low-height aerial imagery acquired by
UAVs, in order to provide large-scale mapping in support of archaeological researches. Two remote controlled systems
(one mini helicopter and one mini fixed wing plane) were tested on two different archaeological sites in order to provide
Digital Surface Models (DSMs) and large-scale maps (numeric maps and orthophotos). The experimental analyses
underline the potentialities and the problems of these systems for photogrammetric surveys. In particular, the UAV
image acquisition is far from flights performed by manned planes: their dimensions and their little weights never allow to
flight the coarse previously set and, as a consequence, their images are often affected by big rotation and little overlaps.
In these conditions, traditional matching algorithms don't always succeed in the generation of reliable DSMs. For this
reason, a procedure for the DSM generation in these application field is proposed. It will be shown as this procedure
allows satisfying the needs of the archaeological survey in the production of Solid True Ortho-Photos (STOP).